Slides from my GECCO-2011 presentations

Below are the embeds of the slides from the talks I presented in GECCO-2011. Soon we should also post slides of the remaining presentations from MEDAL members and those from OBUPM-2011. Using Problem-Specific Knowledge and Learning from Experience in Estimation of Distribution Algorithms View more presentations from pelikan Analysis of Epistasis Correlation on NK Landscapes […]

Below are the embeds of the slides from the talks I presented in GECCO-2011. Soon we should also post slides of the remaining presentations from MEDAL members and those from OBUPM-2011.

The Perils and Pleasures of Interdisciplinarity

Yesterday David E. Goldberg gave a talk on The Perils and Pleasures of Interdisciplinarity at a Workshop on the Challenges in Top-Down, Bottom-up and Computational Approaches in Synthetic Biology. The slides of the talk are available via slideshare:
The Perils & Pleasures of Interdisciplinarity
View more presentations from deg511.

For a related post, visit IlliGAL Blogging.

Yesterday David E. Goldberg gave a talk on The Perils and Pleasures of Interdisciplinarity at a Workshop on the Challenges in Top-Down, Bottom-up and Computational Approaches in Synthetic Biology. The slides of the talk are available via slideshare:

For a related post, visit IlliGAL Blogging.

Not your grandmother’s genetic algorithm!

The video of David E. Goldberg’s talk on genetic algorithms entitled Not your Grandmother’s Genetic Algorithm is available on youtube.com. The talk covers topics from the simple genetic algorithm to advanced estimation of distribution algorithms, scalability theory of genetic algorithms and practical solutions to noisy problems of over one billion variables. An amazing lecture, and […]

The video of David E. Goldberg’s talk on genetic algorithms entitled Not your Grandmother’s Genetic Algorithm is available on youtube.com. The talk covers topics from the simple genetic algorithm to advanced estimation of distribution algorithms, scalability theory of genetic algorithms and practical solutions to noisy problems of over one billion variables. An amazing lecture, and a must-see for anyone interested in evolutionary computation and stochastic optimization.

The links to the videos: Part 1, part 2, part 3.

The embeds follow